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Synergies and trade-offs for the SDGs in a deltaic socio-ecological system: development of an integrated assessment model

Synergies and trade-offs for the SDGs in a deltaic socio-ecological system: development of an integrated assessment model
Synergies and trade-offs for the SDGs in a deltaic socio-ecological system: development of an integrated assessment model
The United Nations Sustainable Development Goals (SDGs) promote sustainable development and aim to address multiple challenges including those related to poverty, hunger, inequality, climate change and environmental degradation. Interlinkages between SDGS means there is potential for interactions, synergies and trade-offs between individual goals across multiple temporal and spatial scales. We aim to develop an Integrated Assessment Model (IAM) of a complex deltaic socio-ecological system where opportunities and trade-offs between the SDGs can be analysed. This is designed to inform local/regional policy. We focus on the Sundarban Biosphere Reserve (SBR) within the Indian Ganga Delta. This is home to 5.6 million often poor people with a strong dependence on rural livelihoods and also includes the Indian portion of the world’s largest mangrove forest – the Sundarbans. The area is subject to multiple drivers of environmental change operating at multiple scales (e.g. global climate change and sea-level rise, deltaic subsidence, extensive land use conversion and widespread migration). Here we discuss the challenges of linking models of human and natural systems to each other in the context of local policy decisions and SDG indicators. Challenges include linking processes derived at multiple spatial and temporal scales and data limitations. We present a framework for an IAM, based on the Delta Dynamic Emulator Model (ΔDIEM), to investigate the affects of current and future trends in environmental change and policy decisions within the SBR across a broad range of sub-thematic SDG indicators. This work brings together a wealth of experience in understanding and modelling changes in complex human and natural systems within deltas from previous projects (ESPA Deltas and DECCMA), along with local government and stakeholder expert knowledge within the Indian Ganga Delta.
Marcinko, Charlotte
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Harfoot, Andrew
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Daw, Tim
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Clarke, Derek
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Hazra, Sugata
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Hutton, Craig
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Hill, Chris
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Lazar, Attila
d7f835e7-1e3d-4742-b366-af19cf5fc881
Nicholls, Robert
4ce1e355-cc5d-4702-8124-820932c57076
Marcinko, Charlotte
1fbc10e0-5c44-4cac-8a70-862ba0e47a66
Harfoot, Andrew
88b7248e-c2b4-4980-aa62-834e780c3016
Daw, Tim
27fd11a6-409a-4c43-b242-d5f312889143
Clarke, Derek
9746f367-1df2-4e0e-8d71-5ecfc9ddd000
Hazra, Sugata
4da64f3d-2d1e-46b5-afa2-76ac5a0bb553
Hutton, Craig
9102617b-caf7-4538-9414-c29e72f5fe2e
Hill, Chris
3a8bfde1-a13f-4c9f-bbf3-f807289ed4e4
Lazar, Attila
d7f835e7-1e3d-4742-b366-af19cf5fc881
Nicholls, Robert
4ce1e355-cc5d-4702-8124-820932c57076

Marcinko, Charlotte, Harfoot, Andrew, Daw, Tim, Clarke, Derek, Hazra, Sugata, Hutton, Craig, Hill, Chris, Lazar, Attila and Nicholls, Robert (2020) Synergies and trade-offs for the SDGs in a deltaic socio-ecological system: development of an integrated assessment model. EGU General Assembly 2020, Online. 04 - 08 May 2020. (doi:10.5194/egusphere-egu2020-12312).

Record type: Conference or Workshop Item (Paper)

Abstract

The United Nations Sustainable Development Goals (SDGs) promote sustainable development and aim to address multiple challenges including those related to poverty, hunger, inequality, climate change and environmental degradation. Interlinkages between SDGS means there is potential for interactions, synergies and trade-offs between individual goals across multiple temporal and spatial scales. We aim to develop an Integrated Assessment Model (IAM) of a complex deltaic socio-ecological system where opportunities and trade-offs between the SDGs can be analysed. This is designed to inform local/regional policy. We focus on the Sundarban Biosphere Reserve (SBR) within the Indian Ganga Delta. This is home to 5.6 million often poor people with a strong dependence on rural livelihoods and also includes the Indian portion of the world’s largest mangrove forest – the Sundarbans. The area is subject to multiple drivers of environmental change operating at multiple scales (e.g. global climate change and sea-level rise, deltaic subsidence, extensive land use conversion and widespread migration). Here we discuss the challenges of linking models of human and natural systems to each other in the context of local policy decisions and SDG indicators. Challenges include linking processes derived at multiple spatial and temporal scales and data limitations. We present a framework for an IAM, based on the Delta Dynamic Emulator Model (ΔDIEM), to investigate the affects of current and future trends in environmental change and policy decisions within the SBR across a broad range of sub-thematic SDG indicators. This work brings together a wealth of experience in understanding and modelling changes in complex human and natural systems within deltas from previous projects (ESPA Deltas and DECCMA), along with local government and stakeholder expert knowledge within the Indian Ganga Delta.

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More information

Published date: 23 March 2020
Venue - Dates: EGU General Assembly 2020, Online, 2020-05-04 - 2020-05-08

Identifiers

Local EPrints ID: 447393
URI: http://eprints.soton.ac.uk/id/eprint/447393
PURE UUID: 284dbd42-8220-4420-9c3a-5eb23d236011
ORCID for Charlotte Marcinko: ORCID iD orcid.org/0000-0002-5369-3950
ORCID for Andrew Harfoot: ORCID iD orcid.org/0000-0001-9923-5018
ORCID for Derek Clarke: ORCID iD orcid.org/0000-0002-5433-5258
ORCID for Craig Hutton: ORCID iD orcid.org/0000-0002-5896-756X
ORCID for Attila Lazar: ORCID iD orcid.org/0000-0003-2033-2013
ORCID for Robert Nicholls: ORCID iD orcid.org/0000-0002-9715-1109

Catalogue record

Date deposited: 10 Mar 2021 17:43
Last modified: 17 Mar 2024 03:31

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Contributors

Author: Andrew Harfoot ORCID iD
Author: Tim Daw
Author: Derek Clarke ORCID iD
Author: Sugata Hazra
Author: Craig Hutton ORCID iD
Author: Chris Hill
Author: Attila Lazar ORCID iD
Author: Robert Nicholls ORCID iD

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